To improve the Chunks delivery of live streaming using an adaptive buffer management algorithm over a video on demand service

Peer-to-peer (P2P) computing and technology requirements have exploded in recent years, owing to their wide range of applications in almost every domain. P2P computing and file-sharing methods are now more accessible than ever thanks to advances in computer science and technology. The time it takes for the server to load tends to be lengthened as a result of this. The vast majority of data is held in massive libraries. Networks, on the other hand, cannot operate if several computers transmit large amounts of data over the same cable at the same time. When a computer transfers a large volume of data, other computers are summoned to assist in the processing of the information. The server and network become slow when large chunks of data are withdrawn from the network. The two processes are combined in this paper to reduce the load on the servers. The results are strong since the two algorithms are mixed. The NS2 simulator is used in the implementation. The two methods to be used are the Chunk Delivery with Adaptive Buffer Management Algorithms and the Chunk Delivery with Buffer Management Algorithms. It's based on the number of chunk requests sent to the same number of response providers. The results show that the performance validated the chunk scheduling and buffer management formula's effectiveness.